Personal technology stack management

In this article, I'll technology stack within their own area of ​​expertise to make a summarized. We continue to update this article in the future the next few years.

Defined herein proficiency standards: up to practice project requirements -> Learn to reach a production environment requirements -> familiar with best practice requirements -> proficient

Software Engineering

basis

• [Understanding] fundamental algorithms and data structures
• [Understanding] design patterns
• [Understanding] computer network
• [Understanding] operating system

Web development

• [Understanding] the back-end framework
• [Strange] front-end framework

common technology

• [Understanding] persistence framework (MySQL, Redis, MongoDB)
• [Strange] high concurrency framework
• [Strange] distributed framework (Hadoop, Spark, Hive)

Data Mining

data collection

• [Familiar] Scrapy / data analysis / anti-anti-climbing technology

data processing

• [Understanding] numpy / pandas
• [Strange] High Performance Computing

Machine Learning

• [Understanding] Linear Algebra
• [Understanding] Probability and Statistics
• [Understanding] statistical learning methods
• [Understanding] sklearn

Depth study

• [Strange] deep learning technology framework (Pytorch, TensorFlow, Caffe)
• [Strange] depth study of theoretical knowledge